Triple

T33320037
Position Surface form Disambiguated ID Type / Status
Subject United Polaris E853111 entity
Predicate includesGroundProduct P44684 FINISHED
Object United Polaris lounge access on eligible itineraries LITERAL FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: United Polaris lounge access on eligible itineraries | Statement: [United Polaris, includesGroundProduct, United Polaris lounge access on eligible itineraries]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: includesGroundProduct
Context triple: [United Polaris, includesGroundProduct, United Polaris lounge access on eligible itineraries]
  • A. includesGoods
    Indicates that one entity contains or comprises certain goods as part of its contents or composition.
  • B. productIncludes chosen
    Indicates that a product contains, comprises, or is composed of the specified component, item, or feature.
  • C. packagingIncludes
    Indicates that the packaging of one item contains or comes with another specified item or component.
  • D. marketIncludes
    Indicates that a given market contains, offers, or encompasses a specified product, service, or segment as part of its scope.
  • E. gridIncludes
    Indicates that a particular grid contains or encompasses a specified element, cell, or sub-region within its structure.
  • F. None of above.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69f349685f088190b8fda44083a018a9 completed April 30, 2026, 12:22 p.m.
NER Named-entity recognition batch_6a030713bd2881908bcc69e7d1e9fd09 completed May 12, 2026, 10:55 a.m.
PD Predicate disambiguation batch_6a0304c29abc819085ffd17ab9a8c844 completed May 12, 2026, 10:45 a.m.
Created at: May 1, 2026, 1:33 a.m.